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体验新版 GitCode,发现更多精彩内容 >>
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8ac744f3
编写于
1月 12, 2018
作者:
Y
ying
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
add wrapper for elementwise math operator.
上级
5dbd5370
变更
16
隐藏空白更改
内联
并排
Showing
16 changed file
with
304 addition
and
65 deletion
+304
-65
doc/api/v2/fluid/layers.rst
doc/api/v2/fluid/layers.rst
+129
-0
python/paddle/v2/fluid/__init__.py
python/paddle/v2/fluid/__init__.py
+16
-3
python/paddle/v2/fluid/backward.py
python/paddle/v2/fluid/backward.py
+4
-1
python/paddle/v2/fluid/clip.py
python/paddle/v2/fluid/clip.py
+3
-1
python/paddle/v2/fluid/default_scope_funcs.py
python/paddle/v2/fluid/default_scope_funcs.py
+15
-11
python/paddle/v2/fluid/evaluator.py
python/paddle/v2/fluid/evaluator.py
+19
-16
python/paddle/v2/fluid/framework.py
python/paddle/v2/fluid/framework.py
+9
-3
python/paddle/v2/fluid/initializer.py
python/paddle/v2/fluid/initializer.py
+6
-1
python/paddle/v2/fluid/io.py
python/paddle/v2/fluid/io.py
+9
-3
python/paddle/v2/fluid/layers/nn.py
python/paddle/v2/fluid/layers/nn.py
+33
-12
python/paddle/v2/fluid/layers/ops.py
python/paddle/v2/fluid/layers/ops.py
+28
-1
python/paddle/v2/fluid/layers/tensor.py
python/paddle/v2/fluid/layers/tensor.py
+10
-2
python/paddle/v2/fluid/memory_optimization_transpiler.py
python/paddle/v2/fluid/memory_optimization_transpiler.py
+4
-2
python/paddle/v2/fluid/nets.py
python/paddle/v2/fluid/nets.py
+4
-1
python/paddle/v2/fluid/registry.py
python/paddle/v2/fluid/registry.py
+10
-7
python/paddle/v2/fluid/regularizer.py
python/paddle/v2/fluid/regularizer.py
+5
-1
未找到文件。
doc/api/v2/fluid/layers.rst
浏览文件 @
8ac744f3
...
@@ -358,3 +358,132 @@ reduce_min
...
@@ -358,3 +358,132 @@ reduce_min
.. autofunction:: paddle.v2.fluid.layers.reduce_min
.. autofunction:: paddle.v2.fluid.layers.reduce_min
:noindex:
:noindex:
logsigmoid
----------
.. autofunction:: paddle.v2.fluid.layers.logsigmoid
:noindex:
exp
---
.. autofunction:: paddle.v2.fluid.layers.exp
:noindex:
relu
----
.. autofunction:: paddle.v2.fluid.layers.relu
:noindex:
tanh
----
.. autofunction:: paddle.v2.fluid.layers.tanh
:noindex:
tanh_shrink
-----------
.. autofunction:: paddle.v2.fluid.layers.tanh_shrink
:noindex:
softshrink
----------
.. autofunction:: paddle.v2.fluid.layers.softshrink
:noindex:
sqrt
----
.. autofunction:: paddle.v2.fluid.layers.sqrt
:noindex:
abs
----
.. autofunction:: paddle.v2.fluid.layers.abs
:noindex:
ceil
----
.. autofunction:: paddle.v2.fluid.layers.ceil
:noindex:
floor
-----
.. autofunction:: paddle.v2.fluid.layers.floor
:noindex:
round
-----
.. autofunction:: paddle.v2.fluid.layers.round
:noindex:
reciprocal
----------
.. autofunction:: paddle.v2.fluid.layers.reciprocal
:noindex:
log
---
.. autofunction:: paddle.v2.fluid.layers.log
:noindex:
square
------
.. autofunction:: paddle.v2.fluid.layers.square
:noindex:
softplus
--------
.. autofunction:: paddle.v2.fluid.layers.softplus
:noindex:
softsign
---------
.. autofunction:: paddle.v2.fluid.layers.softsign
:noindex:
brelu
-----
.. autofunction:: paddle.v2.fluid.layers.brelu
:noindex:
leaky_relu
----------
.. autofunction:: paddle.v2.fluid.layers.leaky_relu
:noindex:
soft_relu
---------
.. autofunction:: paddle.v2.fluid.layers.soft_relu
:noindex:
elu
----
.. autofunction:: paddle.v2.fluid.layers.elu
:noindex:
relu6
-----
.. autofunction:: paddle.v2.fluid.layers.relu6
:noindex:
pow
----
.. autofunction:: paddle.v2.fluid.layers.pow
:noindex:
hard_shrink
-----------
.. autofunction:: paddle.v2.fluid.layers.hard_shrink
:noindex:
thresholded_relu
----------------
.. autofunction:: paddle.v2.fluid.layers.thresholded_relu
:noindex:
hard_sigmoid
-------------
.. autofunction:: paddle.v2.fluid.layers.hard_sigmoid
:noindex:
swish
------
.. autofunction:: paddle.v2.fluid.layers.swish
:noindex:
python/paddle/v2/fluid/__init__.py
浏览文件 @
8ac744f3
...
@@ -23,9 +23,22 @@ from memory_optimization_transpiler import memory_optimize
...
@@ -23,9 +23,22 @@ from memory_optimization_transpiler import memory_optimize
Tensor
=
LoDTensor
Tensor
=
LoDTensor
__all__
=
framework
.
__all__
+
executor
.
__all__
+
[
__all__
=
framework
.
__all__
+
executor
.
__all__
+
[
'io'
,
'initializer'
,
'layers'
,
'nets'
,
'optimizer'
,
'backward'
,
'io'
,
'regularizer'
,
'LoDTensor'
,
'CPUPlace'
,
'CUDAPlace'
,
'Tensor'
,
'ParamAttr'
'initializer'
,
'DataFeeder'
,
'clip'
,
'DistributeTranspiler'
,
'memory_optimize'
'layers'
,
'nets'
,
'optimizer'
,
'backward'
,
'regularizer'
,
'LoDTensor'
,
'CPUPlace'
,
'CUDAPlace'
,
'Tensor'
,
'ParamAttr'
'DataFeeder'
,
'clip'
,
'DistributeTranspiler'
,
'memory_optimize'
,
]
]
...
...
python/paddle/v2/fluid/backward.py
浏览文件 @
8ac744f3
...
@@ -3,7 +3,10 @@ from . import core
...
@@ -3,7 +3,10 @@ from . import core
import
collections
import
collections
import
copy
import
copy
__all__
=
[
'append_backward'
,
'calc_gradient'
]
__all__
=
[
'append_backward'
,
'calc_gradient'
,
]
def
_rename_arg_
(
op_descs
,
old_name
,
new_name
,
begin_idx
=
None
,
end_idx
=
None
):
def
_rename_arg_
(
op_descs
,
old_name
,
new_name
,
begin_idx
=
None
,
end_idx
=
None
):
...
...
python/paddle/v2/fluid/clip.py
浏览文件 @
8ac744f3
...
@@ -3,7 +3,9 @@ import layers
...
@@ -3,7 +3,9 @@ import layers
from
.
import
core
from
.
import
core
__all__
=
[
__all__
=
[
'GradientClipByValue'
,
'append_gradient_clip_ops'
,
'error_clip_callback'
'GradientClipByValue'
,
'append_gradient_clip_ops'
,
'error_clip_callback'
,
]
]
...
...
python/paddle/v2/fluid/default_scope_funcs.py
浏览文件 @
8ac744f3
"""
"""
Default scope function.
Default scope function.
`Paddle` manages Scope as programming language's scope. It just a
`Paddle` manages Scope as programming language's scope. It just a
thread-local stack of Scope. Top of that stack is current scope, the bottom
thread-local stack of Scope. Top of that stack is current scope, the bottom
of that stack is all scopes' parent.
of that stack is all scopes' parent.
Invoking `var/find_var` can `new/find` variable in current scope.
Invoking `var/find_var` can `new/find` variable in current scope.
Invoking `enter_local_scope/leave_local_scope` can create or destroy local
Invoking `enter_local_scope/leave_local_scope` can create or destroy local
scope.
scope.
A `scoped_function` will take a `function` as input. That function will be
A `scoped_function` will take a `function` as input. That function will be
invoked in a new local scope.
invoked in a new local scope.
"""
"""
import
paddle.v2.fluid.core
import
paddle.v2.fluid.core
...
@@ -19,8 +19,12 @@ import threading
...
@@ -19,8 +19,12 @@ import threading
__tl_scope__
=
threading
.
local
()
__tl_scope__
=
threading
.
local
()
__all__
=
[
__all__
=
[
'get_cur_scope'
,
'enter_local_scope'
,
'leave_local_scope'
,
'var'
,
'get_cur_scope'
,
'find_var'
,
'scoped_function'
'enter_local_scope'
,
'leave_local_scope'
,
'var'
,
'find_var'
,
'scoped_function'
,
]
]
...
@@ -71,7 +75,7 @@ def find_var(name):
...
@@ -71,7 +75,7 @@ def find_var(name):
def
scoped_function
(
func
):
def
scoped_function
(
func
):
"""
"""
invoke `func` in new scope.
invoke `func` in new scope.
:param func: a callable function that will be run in new scope.
:param func: a callable function that will be run in new scope.
:type func: callable
:type func: callable
"""
"""
...
...
python/paddle/v2/fluid/evaluator.py
浏览文件 @
8ac744f3
...
@@ -4,7 +4,10 @@ import layers
...
@@ -4,7 +4,10 @@ import layers
from
framework
import
Program
,
unique_name
,
Variable
,
program_guard
from
framework
import
Program
,
unique_name
,
Variable
,
program_guard
from
layer_helper
import
LayerHelper
from
layer_helper
import
LayerHelper
__all__
=
[
'Accuracy'
,
'ChunkEvaluator'
]
__all__
=
[
'Accuracy'
,
'ChunkEvaluator'
,
]
def
_clone_var_
(
block
,
var
):
def
_clone_var_
(
block
,
var
):
...
@@ -21,19 +24,19 @@ def _clone_var_(block, var):
...
@@ -21,19 +24,19 @@ def _clone_var_(block, var):
class
Evaluator
(
object
):
class
Evaluator
(
object
):
"""
"""
Base Class for all evaluators
Base Class for all evaluators
Args:
Args:
name(str): The name of evaluator. such as, "accuracy". Used for generate
name(str): The name of evaluator. such as, "accuracy". Used for generate
temporary variable name.
temporary variable name.
main_program(Program, optional): The evaluator should be added to this
main_program(Program, optional): The evaluator should be added to this
main_program. Default default_main_program()
main_program. Default default_main_program()
startup_program(Program, optional):The parameter should be added to this
startup_program(Program, optional):The parameter should be added to this
startup_program. Default default_startup_program()
startup_program. Default default_startup_program()
Attributes:
Attributes:
states(list): The list of state variables. states will be reset to zero
states(list): The list of state variables. states will be reset to zero
when `reset` is invoked.
when `reset` is invoked.
metrics(list): The list of metrics variables. They will be calculate
metrics(list): The list of metrics variables. They will be calculate
every mini-batch
every mini-batch
"""
"""
...
@@ -66,14 +69,14 @@ class Evaluator(object):
...
@@ -66,14 +69,14 @@ class Evaluator(object):
def
create_state
(
self
,
suffix
,
dtype
,
shape
):
def
create_state
(
self
,
suffix
,
dtype
,
shape
):
"""
"""
Create state variable.
Create state variable.
NOTE: It is not a public API.
NOTE: It is not a public API.
Args:
Args:
suffix(str): the state suffix.
suffix(str): the state suffix.
dtype(str|core.DataType): the state data type
dtype(str|core.DataType): the state data type
shape(tuple|list): the shape of state
shape(tuple|list): the shape of state
Returns: State variable
Returns: State variable
...
@@ -127,8 +130,8 @@ class Accuracy(Evaluator):
...
@@ -127,8 +130,8 @@ class Accuracy(Evaluator):
class
ChunkEvaluator
(
Evaluator
):
class
ChunkEvaluator
(
Evaluator
):
"""
"""
Accumulate counter numbers output by chunk_eval from mini-batches and
Accumulate counter numbers output by chunk_eval from mini-batches and
compute the precision recall and F1-score using the accumulated counter
compute the precision recall and F1-score using the accumulated counter
numbers.
numbers.
"""
"""
...
...
python/paddle/v2/fluid/framework.py
浏览文件 @
8ac744f3
...
@@ -7,9 +7,15 @@ import proto.framework_pb2 as framework_pb2
...
@@ -7,9 +7,15 @@ import proto.framework_pb2 as framework_pb2
from
.
import
core
from
.
import
core
__all__
=
[
__all__
=
[
'Block'
,
'Variable'
,
'Program'
,
'Operator'
,
'default_startup_program'
,
'Block'
,
'default_main_program'
,
'program_guard'
,
'switch_startup_program'
,
'Variable'
,
'switch_main_program'
'Program'
,
'Operator'
,
'default_startup_program'
,
'default_main_program'
,
'program_guard'
,
'switch_startup_program'
,
'switch_main_program'
,
]
]
EMPTY_VAR_NAME
=
core
.
kEmptyVarName
()
EMPTY_VAR_NAME
=
core
.
kEmptyVarName
()
...
...
python/paddle/v2/fluid/initializer.py
浏览文件 @
8ac744f3
import
framework
import
framework
import
numpy
as
np
import
numpy
as
np
__all__
=
[
'Constant'
,
'Uniform'
,
'Normal'
,
'Xavier'
]
__all__
=
[
'Constant'
,
'Uniform'
,
'Normal'
,
'Xavier'
,
]
class
Initializer
(
object
):
class
Initializer
(
object
):
...
...
python/paddle/v2/fluid/io.py
浏览文件 @
8ac744f3
...
@@ -4,9 +4,15 @@ import cPickle as pickle
...
@@ -4,9 +4,15 @@ import cPickle as pickle
from
paddle.v2.fluid.framework
import
Program
,
Parameter
,
default_main_program
,
Variable
from
paddle.v2.fluid.framework
import
Program
,
Parameter
,
default_main_program
,
Variable
__all__
=
[
__all__
=
[
'save_vars'
,
'save_params'
,
'save_persistables'
,
'load_vars'
,
'load_params'
,
'save_vars'
,
'load_persistables'
,
"save_inference_model"
,
"load_inference_model"
,
'save_params'
,
"get_inference_program"
'save_persistables'
,
'load_vars'
,
'load_params'
,
'load_persistables'
,
'save_inference_model'
,
'load_inference_model'
,
'get_inference_program'
,
]
]
...
...
python/paddle/v2/fluid/layers/nn.py
浏览文件 @
8ac744f3
...
@@ -9,12 +9,33 @@ from ..param_attr import ParamAttr
...
@@ -9,12 +9,33 @@ from ..param_attr import ParamAttr
from
tensor
import
concat
from
tensor
import
concat
__all__
=
[
__all__
=
[
'fc'
,
'embedding'
,
'dynamic_lstm'
,
'gru_unit'
,
'linear_chain_crf'
,
'fc'
,
'crf_decoding'
,
'cos_sim'
,
'cross_entropy'
,
'square_error_cost'
,
'accuracy'
,
'embedding'
,
'chunk_eval'
,
'sequence_conv'
,
'conv2d'
,
'sequence_pool'
,
'pool2d'
,
'dynamic_lstm'
,
'batch_norm'
,
'beam_search_decode'
,
'conv2d_transpose'
,
'sequence_expand'
,
'gru_unit'
,
'lstm_unit'
,
'reduce_sum'
,
'reduce_mean'
,
'reduce_max'
,
'reduce_min'
,
'linear_chain_crf'
,
'sequence_first_step'
,
'sequence_last_step'
,
'dropout'
'crf_decoding'
,
'cos_sim'
,
'cross_entropy'
,
'square_error_cost'
,
'accuracy'
,
'chunk_eval'
,
'sequence_conv'
,
'conv2d'
,
'sequence_pool'
,
'pool2d'
,
'batch_norm'
,
'beam_search_decode'
,
'conv2d_transpose'
,
'sequence_expand'
,
'lstm_unit'
,
'reduce_sum'
,
'reduce_mean'
,
'reduce_max'
,
'reduce_min'
,
'sequence_first_step'
,
'sequence_last_step'
,
'dropout'
,
]
]
...
@@ -248,13 +269,13 @@ def gru_unit(input,
...
@@ -248,13 +269,13 @@ def gru_unit(input,
h_t & = dot((1-u_t), m_t) + dot(u_t, h_{t-1})
h_t & = dot((1-u_t), m_t) + dot(u_t, h_{t-1})
The inputs of gru unit includes :math:`z_t`, :math:`h_{t-1}`. In terms
The inputs of gru unit includes :math:`z_t`, :math:`h_{t-1}`. In terms
of the equation above, the :math:`z_t` is split into 3 parts -
of the equation above, the :math:`z_t` is split into 3 parts -
:math:`xu_t`, :math:`xr_t` and :math:`xm_t`. This means that in order to
:math:`xu_t`, :math:`xr_t` and :math:`xm_t`. This means that in order to
implement a full GRU unit operator for an input, a fully
implement a full GRU unit operator for an input, a fully
connected layer has to be applied, such that :math:`z_t = W_{fc}x_t`.
connected layer has to be applied, such that :math:`z_t = W_{fc}x_t`.
The terms :math:`u_t` and :math:`r_t` represent the update and reset gates
The terms :math:`u_t` and :math:`r_t` represent the update and reset gates
of the GRU cell. Unlike LSTM, GRU has one lesser gate. However, there is
of the GRU cell. Unlike LSTM, GRU has one lesser gate. However, there is
an intermediate candidate hidden output, which is denoted by :math:`m_t`.
an intermediate candidate hidden output, which is denoted by :math:`m_t`.
This layer has three outputs :math:`h_t`, :math:`dot(r_t, h_{t-1})`
This layer has three outputs :math:`h_t`, :math:`dot(r_t, h_{t-1})`
and concatenation of :math:`u_t`, :math:`r_t` and :math:`m_t`.
and concatenation of :math:`u_t`, :math:`r_t` and :math:`m_t`.
...
@@ -276,7 +297,7 @@ def gru_unit(input,
...
@@ -276,7 +297,7 @@ def gru_unit(input,
.. code-block:: python
.. code-block:: python
# assuming we have x_t_data and prev_hidden of size=10
# assuming we have x_t_data and prev_hidden of size=10
x_t = fluid.layers.fc(input=x_t_data, size=30)
x_t = fluid.layers.fc(input=x_t_data, size=30)
hidden_val, r_h_val, gate_val = fluid.layers.gru_unit(input=x_t,
hidden_val, r_h_val, gate_val = fluid.layers.gru_unit(input=x_t,
hidden = prev_hidden)
hidden = prev_hidden)
...
...
python/paddle/v2/fluid/layers/ops.py
浏览文件 @
8ac744f3
from
..registry
import
register_layer
from
..registry
import
register_layer
__activations__
=
[
__activations__
=
[
'abs'
,
'tanh'
,
'sigmoid'
,
'relu'
,
'sqrt'
,
'ceil'
,
'floor'
,
'log'
,
'round'
'sigmoid'
,
'logsigmoid'
,
'exp'
,
'relu'
,
'tanh'
,
'tanh_shrink'
,
'softshrink'
,
'sqrt'
,
'abs'
,
'ceil'
,
'floor'
,
'round'
,
'reciprocal'
,
'log'
,
'square'
,
'softplus'
,
'softsign'
,
'brelu'
,
'leaky_relu'
,
'soft_relu'
,
'elu'
,
'relu6'
,
'pow'
,
'stanh'
,
'hard_shrink'
,
'thresholded_relu'
,
'hard_sigmoid'
,
'swish'
,
]
]
__all__
=
[
__all__
=
[
...
...
python/paddle/v2/fluid/layers/tensor.py
浏览文件 @
8ac744f3
...
@@ -2,8 +2,16 @@ from ..layer_helper import LayerHelper
...
@@ -2,8 +2,16 @@ from ..layer_helper import LayerHelper
from
..param_attr
import
ParamAttr
from
..param_attr
import
ParamAttr
__all__
=
[
__all__
=
[
'create_tensor'
,
'create_parameter'
,
'cast'
,
'concat'
,
'sums'
,
'assign'
,
'create_tensor'
,
'fill_constant_batch_size_like'
,
'fill_constant'
,
'ones'
,
'zeros'
'create_parameter'
,
'cast'
,
'concat'
,
'sums'
,
'assign'
,
'fill_constant_batch_size_like'
,
'fill_constant'
,
'ones'
,
'zeros'
,
]
]
...
...
python/paddle/v2/fluid/memory_optimization_transpiler.py
浏览文件 @
8ac744f3
...
@@ -121,8 +121,10 @@ class ControlFlowGraph(object):
...
@@ -121,8 +121,10 @@ class ControlFlowGraph(object):
# and dtype_to_size[cache_dtype]
# and dtype_to_size[cache_dtype]
if
x_dtype
==
cache_dtype
:
if
x_dtype
==
cache_dtype
:
print
(
print
(
"Hit Cache !!!! cache pool index is %d, var name is %s, cached var name is %s, var shape is %s "
(
"Hit Cache !!!! cache pool index "
%
"is %d, var name is %s, "
"cached var name is %s, "
"var shape is %s "
)
%
(
index
,
x
,
cache_var
,
str
(
cache_shape
)))
(
index
,
x
,
cache_var
,
str
(
cache_shape
)))
self
.
pool
.
pop
(
index
)
self
.
pool
.
pop
(
index
)
_rename_arg_
(
_rename_arg_
(
...
...
python/paddle/v2/fluid/nets.py
浏览文件 @
8ac744f3
import
layers
import
layers
__all__
=
[
"simple_img_conv_pool"
,
"sequence_conv_pool"
]
__all__
=
[
"simple_img_conv_pool"
,
"sequence_conv_pool"
,
]
def
simple_img_conv_pool
(
input
,
def
simple_img_conv_pool
(
input
,
...
...
python/paddle/v2/fluid/registry.py
浏览文件 @
8ac744f3
...
@@ -8,7 +8,11 @@ import proto.framework_pb2 as framework_pb2
...
@@ -8,7 +8,11 @@ import proto.framework_pb2 as framework_pb2
from
framework
import
OpProtoHolder
,
Variable
,
Program
,
Operator
from
framework
import
OpProtoHolder
,
Variable
,
Program
,
Operator
from
paddle.v2.fluid.layer_helper
import
LayerHelper
,
unique_name
from
paddle.v2.fluid.layer_helper
import
LayerHelper
,
unique_name
__all__
=
[
'deprecated'
,
'register_layer'
,
'autodoc'
]
__all__
=
[
'deprecated'
,
'register_layer'
,
'autodoc'
,
]
def
_convert_
(
name
):
def
_convert_
(
name
):
...
@@ -80,11 +84,10 @@ def _generate_doc_string_(op_proto):
...
@@ -80,11 +84,10 @@ def _generate_doc_string_(op_proto):
def
register_layer
(
op_type
):
def
register_layer
(
op_type
):
"""
"""Register the Python layer for an Operator.
Register an Python layer for an Operator
Args:
Args:
op_type: The name of the operator to be created
op_type: The name of the operator to be created
.
This function takes in the operator type (sigmoid, mean , average etc) and
This function takes in the operator type (sigmoid, mean , average etc) and
creates the operator functionality.
creates the operator functionality.
...
@@ -98,16 +101,16 @@ def register_layer(op_type):
...
@@ -98,16 +101,16 @@ def register_layer(op_type):
if
len
(
not_intermediate_outputs
)
!=
1
:
if
len
(
not_intermediate_outputs
)
!=
1
:
raise
ValueError
(
"Only one non intermediate output operator can be"
,
raise
ValueError
(
"Only one non intermediate output operator can be"
,
"automatically generated"
)
"automatically generated
.
"
)
if
not_intermediate_outputs
[
0
].
duplicable
:
if
not_intermediate_outputs
[
0
].
duplicable
:
raise
ValueError
(
raise
ValueError
(
"Only non duplicable op can be automatically generated"
)
"Only non duplicable op can be automatically generated
.
"
)
for
output
in
intermediate_outputs
:
for
output
in
intermediate_outputs
:
if
output
.
duplicable
:
if
output
.
duplicable
:
raise
ValueError
(
"The op can be automatically generated only when "
,
raise
ValueError
(
"The op can be automatically generated only when "
,
"all intermediate ops are not duplicable"
)
"all intermediate ops are not duplicable
.
"
)
o_name
=
not_intermediate_outputs
[
0
].
name
o_name
=
not_intermediate_outputs
[
0
].
name
intermediate_output_names
=
[
output
.
name
for
output
in
intermediate_outputs
]
intermediate_output_names
=
[
output
.
name
for
output
in
intermediate_outputs
]
...
...
python/paddle/v2/fluid/regularizer.py
浏览文件 @
8ac744f3
import
framework
import
framework
__all__
=
[
'append_regularization_ops'
,
'L1Decay'
,
'L2Decay'
]
__all__
=
[
'append_regularization_ops'
,
'L1Decay'
,
'L2Decay'
,
]
def
append_regularization_ops
(
parameters_and_grads
,
regularization
=
None
):
def
append_regularization_ops
(
parameters_and_grads
,
regularization
=
None
):
...
...
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